This is a remote position.
Junior Machine Learning Engineer
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Job descriptions:
As a senior Machine Learning Engineer at our clients company, you will be contributing to a critical component of the company’s roadmap.
Your primary responsibilities will be to own end to end ML projects. A key component of your work will be to scope out and build whatever is the best-possible ML solution (high performance, low cost, low latency) to green-field problems. This includes scoping out the ML use case, designing and curating appropriate datasets, shortlisting algorithms, training models (including finetuning), experimentation, evaluation and deployment.
You’ll build general solutions to improve the reliability and robustness of LLMs, as well as industry specific solutions focusing on finance, healthcare, etc. You’ll work closely with customers on understanding their problems.
You’ll think about the best way to generalize your work and build abstractions to improve ML and experimentation infrastructure.
About you
You have a minimum 1 years of experience building Machine Learning models in production settings. Your role is not just the research and experimentation in order to build a SoTA model, but also to ship the product to a production environment.
You’re excited about being cross-functional and owning the lifecycle of building ML solutions — from model development to deployment.
You’re extremely comfortable with Python, sklearn, numpy and a deep learning framework such as Pytorch / Keras / Tensorflow.
You stay up-to-date with the latest research in your area of interest in ML. You’re comfortable reading research papers, figuring out what the key ideas from the paper are and reproducing the results in a production environment.
You’ve previously worked with deep learning systems on unstructured data such as text, images, LiDAR, etc.
You’re really excited about Large Language Models, and excited about building applications that leverage LLMs for solving problems.
You enjoy fast-paced environments, and exhibit a high degree of ownership and self-sufficiency. Unstructured environments are exciting to you because they represent opportunities for growth and leadership.
ML Stack
Python
Pytorch
Hugging Face transformers
Numpy
Sklearn
Pandas
Ray
Benefits:
Flexible work schedule- fully remote
Competitive salary
Bonus + Equity stock option
Healthcare/vision/dental 100% coverage
Learning and development resources
401k
Unlimited PTO
Fully Remote and flexible working environment
Care for employees' financial, physical, and mental health
DISCLAIMER: This job posting is intended for the active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future opportunities. If your application aligns with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately.
